The traditional build-and-expand approach is not a viable solution to ke...
Traffic state estimation plays an important role in facilitating effecti...
This paper presents Bayesian parameter estimation for first order Grey s...
The efficiency and reliability of real-time incident detection models
di...
Image classification must work for autonomous vehicles (AV) operating on...
Connected vehicles (CVs), because of the external connectivity with othe...
We report herein, the potential of raw pinecone powder (PCP) and pinecon...
Dynamic behavior of traffic adversely affect the performance of the
pred...
In transportation applications such as real-time route guidance, ramp
me...
This study presents a methodology to quantify vulnerability of cyber att...
Today vehicles are becoming a rich source of data as they are equipped w...
Estimation models from connected vehicles often assume low level paramet...
Connected vehicle (CV) systems are cognizant of potential cyber attacks
...
The interest to use probe vehicles for traffic monitoring is growing. Th...
This paper discusses the real-time prediction of queue lengths from prob...
Traffic congestion at a signalized intersection greatly reduces the trav...
Although Vehicle-to-Pedestrian (V2P) communication can significantly imp...
Connected vehicle (CV) systems are cognizant of potential cyber attacks
...
Cooperative Adaptive Cruise Control (CACC) is a pivotal vehicular applic...